Abulhair Saparov
13 papers · 2017–2025 · 7 venues · across top CS/AI venues
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Keywords
large language model
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language model
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mathematical reasoning
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arithmetic word problem
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semantic parsing
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proof planning
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chain-of-thought reasoning
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bayesian inference
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causal reasoning
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representation learning
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question answering
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temporal reasoning
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neural network optimization
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out-of-distribution generalization
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probabilistic modeling
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multi-agent learning
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first-order logic
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instruction tuning
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Papers
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
ICLR 2025
Reasoning Models Reason Well, Until They Don’t
IJCNLP 2025
Transformers Struggle to Learn to Search
ICLR 2025
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
ICML 2024
LLMs Are Prone to Fallacies in Causal Inference
EMNLP 2024
Personas as a Way to Model Truthfulness in Language Models
EMNLP 2024
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
ICLR 2023
Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis
EMNLP 2023
Retrieval-Augmented Chain-of-Thought in Semi-structured Domains
EMNLP 2023
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
NeurIPS 2023
World Models for Math Story Problems
ACL 2023
Jelly Bean World: A Testbed for Never-Ending Learning
ICLR 2020
A Probabilistic Generative Grammar for Semantic Parsing
CoNLL 2017